Sarah MasonMay 91 minData-Driven Continuous Improvement The development lifecycle for services or products includes a phase of changes for maintaining quality and function. Continual Improvement
Sarah Mason Consulting LLCApr 251 minInside News for May 2022Read the May 2022 Inside Dataology Newsletter. Analytics, data, and more.
Sarah MasonApr 252 minData PracticeFor any data project, collecting the needed facts requires research and placing into a file. Most times, this means either a spreadsheet or
Sarah MasonApr 112 minDiagnostic and Descriptive Analytics, Same or Different?There are four types of analytics: Descriptive, Diagnostic, Prescriptive, and Predictive. Selecting the right type requires knowledge...
Cameron WillisMar 294 minSocioeconomic Levels & Our HealthA person's socioeconomic level also shows their relationship to their health and utilization of health care.
Sarah Mason Consulting LLCMar 281 minInside News for April 2022Read the April 2022 Inside Dataology Newsletter -->
Sarah MasonFeb 282 minQuality Improvements, Using Statistics for DecisionsQuality Improvement, using statistics for decisions by data referenced knowledge. Decisions are constant...
Sarah MasonJan 312 minWhat is Continuous Improvement?Continuous Improvement is a method of restarting the cycle to review, find change...
Sarah MasonJan 32 minHealthTech Benefit from Business Analytics with Summary and Advanced AnalyticsCreating a plan, or mapping a project lifecycle, needs critical thinking in HealthTech which means analytics.
Sarah MasonDec 20, 20212 minRelating Data, Using Schema for Reviewing RecordRelational databases are structured like a table with rows and columns. Viewing data requires Schema for record retrieval.
Sarah MasonDec 5, 20212 minDatabase and Research with Logical ETLDatabases come in two types, Relational Database or Non-Relational Databases. Relational Databases have set relationships between entities.
Sarah MasonNov 22, 20212 minAnalytics: Describe and SummarizeDescriptive statistics are the present state of data in a dataset. Learn from tips for performing in R, Python, and Microsoft Excel.
Sarah MasonNov 9, 20212 minCreating Good Data for Real AnalyticsPreprocessing is an important part of any data-related task. Here are some examples of how to create good usable data from dirty data.
Sarah MasonNov 8, 20212 minData Analytics: Processing and Ingestion for SuccessLearn the basics of data ingestion, how it’s different than processing, and why each is critical to your analytics success.